NIH Grant Updates

Product Definitions and Bid Specifications

Lasergene Core Suite

Lasergene Core Suite is a suite of ten applications for use in sequence assembly and analysis of proteins and nucleic acids. The Lasergene Core Suite installer is included with all suite purchases, but its content will vary based on your selected suite.The software is useful in sequence assemblies, alignment of DNA and protein sequences, prediction of protein structure, gene discovery, SNP discovery, reporting and filtering, creation of virtual clones, oligo design, and genomic visualizations.

ArrayStar with QSeq

ArrayStar is an application within Lasergene Genomics Suite for analyzing sequence variation across groups of genomic samples, as well as global gene expression. The software enables you to analyze variants using assembly projects and/or SNP data from SeqMan NGen and SeqMan Pro, or import oligonucleotide microarray and spotted array data to use ArrayStar's microarray functionality. ArrayStar offers statistical tools in conjunction with graphically rich visualizations to isolate gene or SNP sets of interest and identify their biological significance. ArrayStar can also be used in concert with the optional QSeq application to analyze RNA-Seq, ChIP-Seq, and miRNA data.

SeqMan NGen

SeqMan NGen is sequence assembly software that has the ability to assemble any size genome quickly and accurately on a desktop computer. SeqMan NGen assembles data from all major next-gen sequencing platforms, and provides an extremely easy-to-use interface that steps you through your sequence assembly and analysis project. SeqMan NGen is fully integrated with SeqMan Pro, so that once your assembly is complete, you can continue with downstream analysis including discovering SNPs using Bayesian statistical models, identifying large insertions and deletions, evaluating coverage, and annotating your consensus sequence. SeqMan NGen also assembles RNA-Seq, ChIP-Seq, and miRNA data, allowing easy, integrated, post-assembly analysis in ArrayStar with QSeq of both gene expression and SNP data.